Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill acu-nugget-recallgit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/acu-nugget-recall)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/acu-nugget-recall"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/acu-nugget-recall/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/acu-nugget-recall"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/acu-nugget-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00368 |
| Opus 5 | $0.00026 | $0.00184 |
| Sonnet 5 | $0.00010 | $0.00074 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
acu-nugget-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ACU / Nugget Recall
Orchestration Pattern
- Require
target_summary; never generate the scored summary inside this tactic. - Fetch the paper and create
acu-nugget-recall/. - Extract units before exposing the summary to the unit-writing step. ACU uses extracted/binary units; Nugget uses authored, importance-tagged units.
- Match all units against
target_summaryin one call. - Aggregate the results and write
03-recall-aggregate.json.
Write 01-atomic-unit-writing.json, 02-atomic-unit-matching.json, and
03-recall-aggregate.json. Record the summary source. Report every unmatched
unit, not just the score. For a single-summary Nugget run, carry the method's
weak per-topic reliability caveat alongside the number.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 39 lines · 51 tokens per session scan A daab3cff6981
acu-nugget-recall is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (462 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 368 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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